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Data Scientist [High Salary]


Job details
  • X4 Technology
  • Leeds
  • 3 days ago

Job Title: Data ScientistLocation: Fully Remote UKJobType: 6-Month Contract with the possibility of extensionInterviewProcess: Remote video interviewsRate: DOE, Outside IR35A leadingLondon-based IT consultancy is seeking a talented and motivatedData Scientist with experience in the energy sector to join theirteam.Key Responsibilities for the Data Scientist Role:Collaboratewith energy stakeholders to design, develop, and implementdata-driven solutions tailored to business needs, such as customersegmentation, sales forecasting, and inventory optimisation.Buildand deploy machine learning models to support key energy functions,including pricing strategies, supply chain analysis, and customerbehaviour prediction.Develop scalable and reusable tools tostreamline the deployment and monitoring of data science solutionsacross energy operations.Work closely with engineers to integratemachine learning models into production systems and energyplatforms.Analyse large datasets, including transactional andcustomer data, to uncover actionable insights that drive businessdecisions.Establish best practices for data processing, featureengineering, and model evaluation within a energy context.KeySkills and Qualifications:Strong understanding of the data sciencelifecycle, including data exploration, feature engineering, modeldevelopment, and deployment, with a focus on energyapplications.Proficiency in Python, with experience in librariesand frameworks such as Pandas, NumPy, Scikit-learn, TensorFlow, orPyTorch.Expertise in statistical analysis, probability, and machinelearning techniques relevant to energy, such as time seriesforecasting and recommendation systems.Experience working withenergy datasets, including point-of-sale, e-commerce, and loyaltyprogramme data.Knowledge of cloud environments like AWS, GCP, orAzure, with hands-on experience deploying and managing solutions inthese platforms.Familiarity with containerisation technologies likeDocker and orchestration tools such as Kubernetes.Excellentcommunication skills, with the ability to translate complex datainsights into actionable recommendations for non-technical energystakeholders.If you’re a skilled Data Scientist with a passion forapplying your expertise to the energy industry, we’d love to hearfrom you—apply today!

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